Who am I?

Arghya Ranjan Das

Science, philosophy and curiosity.
And the things I keep wondering about…

V(\phi)=\mu^2\phi^\dagger\phi+\lambda(\phi^\dagger\phi)^2

G_{\mu\nu}+\Lambda g_{\mu\nu}=8\pi G\,T_{\mu\nu}

(i\gamma^\mu\partial_\mu-m)\psi=0

E=mc^2

\frac{d}{dt}\frac{\partial \mathcal{L}}{\partial \dot{q}}-\frac{\partial \mathcal{L}}{\partial q}=0

01The Universe

Given enough time, it spreads, forming the Cosmic web.

cthe speed limit

ℏthe smallest action

13.8 Gyrtime elapsed

Ggravity

k_Bthermal scale

αfine structure

02The Re-Search

To learn what a thing is, we take it apart. And, with a pinch of curiosity, this makes the rest.

Selected publications

arXiv preprint2026

On-chip probabilistic inference for charged-particle tracking at the sensor edge

Probabilistic inference implemented directly on-chip at the sensor edge for charged-particle tracking — pushing AI/ML into the detector front-end under extreme latency and power constraints.

arXiv preprintarXiv:2602.15946

arXiv preprint2026

PQuantML: A Tool for End-to-End Hardware-aware Model Compression

An end-to-end tool for hardware-aware compression of machine-learning models — structured pruning and quantization tuned for deployment under real-time, resource-constrained conditions.

arXiv preprintarXiv:2603.26595

arXiv preprint2026

On-Detector Machine Learning for Beam-Induced Background Rejection at a 10 TeV Muon Collider

Rejecting beam-induced background on the detector itself at a 10 TeV muon collider — muon decays in the ring flood the detector, so the filtering has to happen before the data ever leaves the front end.

arXiv preprintarXiv:2608.21327

Nucl. Instrum. Meth. A 10922026

Robustness of the smartpixels classifier for different simulated sensor geometries and non-ideal detector conditions

How the on-chip smart-pixels classifier holds up when the sensor geometry changes and the detector is not ideal — the robustness study behind putting real-time data reduction on the detector.

Nucl. Instrum. Meth. A 1092PUBLISHED

Nucl. Instrum. Meth. A 10802025

Performance measurements of the electromagnetic calorimeter and readout electronics system for the DarkQuest experiment

Characterization of the electromagnetic calorimeter and readout electronics for DarkQuest, a beam-dump search for dark-sector particles at Fermilab.

Nucl. Instrum. Meth. A 1080arXiv:2502.20590

arXiv preprint2025

Sensor Co-design for smartpixels

Co-designing sensors and on-chip intelligence for the smart-pixels program: coupling detector design with embedded ML from the ground up.

arXiv preprintarXiv:2510.06588

arXiv preprint2025

Characterization of a 28 nm smartpixels ASIC With On-Chip ML for Particle Tracking Detectors

A 28 nm CMOS pixel readout ASIC with in-pixel analog signal processing and on-chip machine-learning data filtering — two 32x8 matrices at a 25 um pitch, each pixel carrying a charge amplifier and a 2-bit flash ADC.

arXiv preprintarXiv:2510.07485

Astrophys. J. 9552023

QPOs in Compact Sources as a Nonlinear Hydrodynamical Resonance: Determining Spin of Compact Objects

Modeling quasi-periodic oscillations in accreting compact sources as a nonlinear hydrodynamical resonance, and using them to constrain the spin of the central compact object.

Astrophys. J. 955arXiv:2308.09759

Eur. Phys. J. C 822022

Asymptotically flat vacuum solution for a rotating black hole in a modified gravity theory

An asymptotically flat rotating black-hole vacuum solution in a modified theory of gravity, with implications for how deviations from general relativity could show up around spinning black holes.

Eur. Phys. J. C 82arXiv:2203.07690